Senior Software Engineer - New Products

We are monday.com, a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering ~245,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before.

With over 2,500 employees across the globe, we grow by prioritizing transparency and knowledge sharing. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration.

WorkCanvas.com — part of monday.com — is expanding into new, AI-native product areas, and we’re looking for a Senior Software Engineer to join our fast-moving, high-impact team. You will help shape and build new products from the ground up, working across the stack in a dynamic environment that blends startup velocity with monday.com scale.

As part of a small, exceptionally talented engineering group, you'll own key product areas, influence architectural decisions, and ship user-facing features rapidly. This is a rare opportunity to help define the future of monday.com’s next wave of products.

• Demonstrated strong technical skills and experience building full-stack applications end-to-end
• Deep knowledge of React (Next.js), Node.js, and TypeScript
• Experience building features that integrate LLMs or other AI technologies (e.g., OpenAI, Gemini, Claude, Llama)
• Experience with testing frameworks (Jest, Playwright, Cypress, etc.)
• Experience working with cloud infrastructure (GCP/AWS), CI/CD, deployments, and monitoring
• Familiarity with performance optimization and scalability across frontend and backend
• Strong communication skills, team mindset, and empathy
• Passion for creating user-centered products that customers rely on daily

Advantages

• Experience building AI-native products
• Experience with vector embeddings, RAG architectures, or AI inference pipelines
• Experience with real-time collaboration, WebSockets, or state-sync frameworks
• Familiarity with product discovery, rapid prototyping, or startup environments